Predictive maintenance
Intelligent maintenance for maximum system availability
Early detection, targeted action – with smart condition monitoring
Predictive maintenance enables the predictive maintenance of your machines and systems – based on precise condition data. Condition monitoring provides the basis for this: with modern sensor technology and powerful analysis tools, you can monitor your systems in real time and detect potential faults at an early stage.
Based on this data, maintenance-relevant events can be reliably predicted. Maintenance measures can be planned in a targeted manner and seamlessly integrated into the production process. This minimizes unplanned downtime, reduces repair costs and increases the availability of your systems. This allows you to optimize your maintenance strategy sustainably.
Our expertise – your advantage
Predictive maintenance and real-time monitoring
Using intelligent IoT technology and AI, LCM monitors your systems in real time and reliably predicts maintenance requirements. Impending failures are detected early and downtimes are minimized.
Our AI models record wear and remaining useful life even with varying products, changing operating parameters or external influences. This allows you to reduce repair costs and extend the service life of your machines.
Individual maintenance strategies and automation
We develop maintenance strategies that are precisely tailored to your operating conditions and objectives. To do this, we combine technological expertise with a deep understanding of processes – for predictive, tailor-made maintenance concepts.
Automated processes enable continuous condition monitoring, rapid fault diagnosis and an early response. This increases availability, reduces downtime and saves resources.
Sustainability and resource conservation
Our predictive maintenance solutions increase energy efficiency and reduce material wear. Faults are detected at an early stage and maintenance is carried out as required – unplanned downtime and spare parts consumption are significantly reduced.
This reduces operating costs, extends the service life of systems and conserves resources – a clear benefit for the environment and the company.
Erwin Schimbäck
Business Area Manager Sensors & Communication
Our predictive maintenance projects
Condition monitoring of cutting processes
Condition monitoring of cutting processes Quality assurance in fiber production Lenzing produces a wide variety of fibers from the raw…
Sensors for rotating machine parts
Sensors for rotating machine parts Tool identification & early fault detection Rotating machine parts are often exposed to high loads….
Optimized capacity planning in production with DisDAQ
DisDAQ enables flexible, mobile data collection in production halls to optimize capacity planning with a high proportion of manual work.
